Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 7109 |
| Missing cells | 54 |
| Missing cells (%) | < 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 5.0 MiB |
| Average record size in memory | 731.5 B |
Variable types
| Categorical | 10 |
|---|---|
| Numeric | 12 |
PRT_ID has a high cardinality: 7109 distinct values | High cardinality |
DATE_SALE has a high cardinality: 2798 distinct values | High cardinality |
DATE_BUILD has a high cardinality: 5808 distinct values | High cardinality |
INT_SQFT is highly correlated with N_BEDROOM and 4 other fields | High correlation |
N_BEDROOM is highly correlated with INT_SQFT and 2 other fields | High correlation |
N_BATHROOM is highly correlated with N_BEDROOM and 1 other fields | High correlation |
N_ROOM is highly correlated with INT_SQFT and 5 other fields | High correlation |
QS_ROOMS is highly correlated with QS_OVERALL | High correlation |
QS_BATHROOM is highly correlated with QS_OVERALL | High correlation |
QS_BEDROOM is highly correlated with QS_OVERALL | High correlation |
QS_OVERALL is highly correlated with QS_ROOMS and 2 other fields | High correlation |
REG_FEE is highly correlated with INT_SQFT and 3 other fields | High correlation |
COMMIS is highly correlated with INT_SQFT and 3 other fields | High correlation |
SALES_PRICE is highly correlated with INT_SQFT and 3 other fields | High correlation |
INT_SQFT is highly correlated with N_BEDROOM and 5 other fields | High correlation |
N_BEDROOM is highly correlated with INT_SQFT and 2 other fields | High correlation |
N_BATHROOM is highly correlated with INT_SQFT and 2 other fields | High correlation |
N_ROOM is highly correlated with INT_SQFT and 5 other fields | High correlation |
QS_ROOMS is highly correlated with QS_OVERALL | High correlation |
QS_BATHROOM is highly correlated with QS_OVERALL | High correlation |
QS_BEDROOM is highly correlated with QS_OVERALL | High correlation |
QS_OVERALL is highly correlated with QS_ROOMS and 2 other fields | High correlation |
REG_FEE is highly correlated with INT_SQFT and 3 other fields | High correlation |
COMMIS is highly correlated with INT_SQFT and 3 other fields | High correlation |
SALES_PRICE is highly correlated with INT_SQFT and 3 other fields | High correlation |
INT_SQFT is highly correlated with N_BEDROOM and 1 other fields | High correlation |
N_BEDROOM is highly correlated with INT_SQFT and 2 other fields | High correlation |
N_BATHROOM is highly correlated with N_BEDROOM and 1 other fields | High correlation |
N_ROOM is highly correlated with INT_SQFT and 3 other fields | High correlation |
REG_FEE is highly correlated with N_ROOM and 1 other fields | High correlation |
SALES_PRICE is highly correlated with REG_FEE | High correlation |
AREA is highly correlated with INT_SQFT and 7 other fields | High correlation |
INT_SQFT is highly correlated with AREA and 6 other fields | High correlation |
N_BEDROOM is highly correlated with AREA and 3 other fields | High correlation |
N_BATHROOM is highly correlated with AREA and 3 other fields | High correlation |
N_ROOM is highly correlated with AREA and 6 other fields | High correlation |
BUILDTYPE is highly correlated with REG_FEE and 1 other fields | High correlation |
MZZONE is highly correlated with AREA | High correlation |
QS_ROOMS is highly correlated with QS_OVERALL | High correlation |
QS_BATHROOM is highly correlated with QS_OVERALL | High correlation |
QS_BEDROOM is highly correlated with QS_OVERALL | High correlation |
QS_OVERALL is highly correlated with QS_ROOMS and 2 other fields | High correlation |
REG_FEE is highly correlated with AREA and 5 other fields | High correlation |
COMMIS is highly correlated with AREA and 4 other fields | High correlation |
SALES_PRICE is highly correlated with AREA and 5 other fields | High correlation |
PRT_ID is uniformly distributed | Uniform |
DATE_BUILD is uniformly distributed | Uniform |
PRT_ID has unique values | Unique |
Reproduction
| Analysis started | 2022-07-05 04:21:03.306750 |
|---|---|
| Analysis finished | 2022-07-05 04:21:17.715547 |
| Duration | 14.41 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 7109 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 437.5 KiB |
| P03210 | 1 |
|---|---|
| P01175 | 1 |
| P07437 | 1 |
| P06628 | 1 |
| P02767 | 1 |
| Other values (7104) |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 7109 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | P03210 |
|---|---|
| 2nd row | P09411 |
| 3rd row | P01812 |
| 4th row | P05346 |
| 5th row | P06210 |
Common Values
| Value | Count | Frequency (%) |
| P03210 | 1 | < 0.1% |
| P01175 | 1 | < 0.1% |
| P07437 | 1 | < 0.1% |
| P06628 | 1 | < 0.1% |
| P02767 | 1 | < 0.1% |
| P00597 | 1 | < 0.1% |
| P06235 | 1 | < 0.1% |
| P08545 | 1 | < 0.1% |
| P07534 | 1 | < 0.1% |
| P07234 | 1 | < 0.1% |
| Other values (7099) | 7099 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| p03210 | 1 | < 0.1% |
| p09370 | 1 | < 0.1% |
| p05346 | 1 | < 0.1% |
| p06210 | 1 | < 0.1% |
| p00219 | 1 | < 0.1% |
| p09105 | 1 | < 0.1% |
| p09679 | 1 | < 0.1% |
| p03377 | 1 | < 0.1% |
| p09623 | 1 | < 0.1% |
| p09540 | 1 | < 0.1% |
| Other values (7099) | 7099 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 17 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 453.8 KiB |
| Chrompet | |
|---|---|
| Karapakkam | |
| KK Nagar | |
| Velachery | |
| Anna Nagar | |
| Other values (12) |
Length
| Max length | 10 |
|---|---|
| Median length | 8 |
| Mean length | 8.342382895 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Karapakkam |
|---|---|
| 2nd row | Anna Nagar |
| 3rd row | Adyar |
| 4th row | Velachery |
| 5th row | Karapakkam |
Common Values
| Value | Count | Frequency (%) |
| Chrompet | 1681 | |
| Karapakkam | 1363 | |
| KK Nagar | 996 | |
| Velachery | 979 | |
| Anna Nagar | 783 | |
| Adyar | 773 | |
| T Nagar | 496 | 7.0% |
| Chrompt | 9 | 0.1% |
| Chrmpet | 6 | 0.1% |
| Chormpet | 6 | 0.1% |
| Other values (7) | 17 | 0.2% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| nagar | 2280 | |
| chrompet | 1681 | |
| karapakkam | 1363 | |
| kk | 996 | |
| velachery | 979 | |
| anna | 783 | 8.3% |
| adyar | 773 | 8.2% |
| t | 496 | 5.3% |
| chrompt | 9 | 0.1% |
| chormpet | 6 | 0.1% |
| Other values (8) | 23 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1699 |
|---|---|
| Distinct (%) | 23.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1382.073006 |
| Minimum | 500 |
|---|---|
| Maximum | 2500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 500 |
|---|---|
| 5-th percentile | 702 |
| Q1 | 993 |
| median | 1373 |
| Q3 | 1744 |
| 95-th percentile | 2084.6 |
| Maximum | 2500 |
| Range | 2000 |
| Interquartile range (IQR) | 751 |
Descriptive statistics
| Standard deviation | 457.4109025 |
|---|---|
| Coefficient of variation (CV) | 0.3309600147 |
| Kurtosis | -0.8863792596 |
| Mean | 1382.073006 |
| Median Absolute Deviation (MAD) | 376 |
| Skewness | 0.1312376308 |
| Sum | 9825157 |
| Variance | 209224.7337 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1781 | 18 | 0.3% |
| 1538 | 15 | 0.2% |
| 1505 | 13 | 0.2% |
| 1514 | 13 | 0.2% |
| 1634 | 12 | 0.2% |
| 786 | 12 | 0.2% |
| 961 | 12 | 0.2% |
| 1655 | 12 | 0.2% |
| 1081 | 12 | 0.2% |
| 1853 | 11 | 0.2% |
| Other values (1689) | 6979 |
| Value | Count | Frequency (%) |
| 500 | 3 | |
| 501 | 2 | |
| 502 | 1 | < 0.1% |
| 504 | 2 | |
| 505 | 1 | < 0.1% |
| 506 | 1 | < 0.1% |
| 507 | 2 | |
| 508 | 4 | |
| 510 | 2 | |
| 511 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2500 | 1 | < 0.1% |
| 2499 | 1 | < 0.1% |
| 2498 | 1 | < 0.1% |
| 2497 | 1 | < 0.1% |
| 2496 | 3 | |
| 2495 | 2 | |
| 2494 | 1 | < 0.1% |
| 2493 | 1 | < 0.1% |
| 2492 | 1 | < 0.1% |
| 2491 | 1 | < 0.1% |
| Distinct | 2798 |
|---|---|
| Distinct (%) | 39.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 465.3 KiB |
| 06-10-2009 | 12 |
|---|---|
| 06-01-2009 | 10 |
| 12-04-2011 | 10 |
| 26-02-2012 | 10 |
| 17-11-2010 | 10 |
| Other values (2793) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 988 ? |
|---|---|
| Unique (%) | 13.9% |
Sample
| 1st row | 04-05-2011 |
|---|---|
| 2nd row | 19-12-2006 |
| 3rd row | 04-02-2012 |
| 4th row | 13-03-2010 |
| 5th row | 05-10-2009 |
Common Values
| Value | Count | Frequency (%) |
| 06-10-2009 | 12 | 0.2% |
| 06-01-2009 | 10 | 0.1% |
| 12-04-2011 | 10 | 0.1% |
| 26-02-2012 | 10 | 0.1% |
| 17-11-2010 | 10 | 0.1% |
| 15-03-2012 | 10 | 0.1% |
| 19-07-2011 | 9 | 0.1% |
| 01-04-2009 | 9 | 0.1% |
| 28-02-2012 | 9 | 0.1% |
| 17-06-2011 | 9 | 0.1% |
| Other values (2788) | 7011 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 06-10-2009 | 12 | 0.2% |
| 12-04-2011 | 10 | 0.1% |
| 26-02-2012 | 10 | 0.1% |
| 17-11-2010 | 10 | 0.1% |
| 15-03-2012 | 10 | 0.1% |
| 06-01-2009 | 10 | 0.1% |
| 17-06-2011 | 9 | 0.1% |
| 30-11-2009 | 9 | 0.1% |
| 14-08-2010 | 9 | 0.1% |
| 13-03-2010 | 9 | 0.1% |
| Other values (2788) | 7011 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
DIST_MAINROAD
Real number (ℝ≥0)
| Distinct | 201 |
|---|---|
| Distinct (%) | 2.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 99.60317907 |
| Minimum | 0 |
|---|---|
| Maximum | 200 |
| Zeros | 33 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 50 |
| median | 99 |
| Q3 | 148 |
| 95-th percentile | 190 |
| Maximum | 200 |
| Range | 200 |
| Interquartile range (IQR) | 98 |
Descriptive statistics
| Standard deviation | 57.40310959 |
|---|---|
| Coefficient of variation (CV) | 0.5763180465 |
| Kurtosis | -1.165240378 |
| Mean | 99.60317907 |
| Median Absolute Deviation (MAD) | 49 |
| Skewness | 0.01814383556 |
| Sum | 708079 |
| Variance | 3295.11699 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 39 | 56 | 0.8% |
| 51 | 53 | 0.7% |
| 78 | 52 | 0.7% |
| 77 | 49 | 0.7% |
| 73 | 48 | 0.7% |
| 156 | 48 | 0.7% |
| 14 | 48 | 0.7% |
| 49 | 47 | 0.7% |
| 111 | 47 | 0.7% |
| 4 | 46 | 0.6% |
| Other values (191) | 6615 |
| Value | Count | Frequency (%) |
| 0 | 33 | |
| 1 | 28 | |
| 2 | 44 | |
| 3 | 27 | |
| 4 | 46 | |
| 5 | 36 | |
| 6 | 42 | |
| 7 | 27 | |
| 8 | 31 | |
| 9 | 37 |
| Value | Count | Frequency (%) |
| 200 | 38 | |
| 199 | 30 | |
| 198 | 30 | |
| 197 | 38 | |
| 196 | 36 | |
| 195 | 34 | |
| 194 | 35 | |
| 193 | 29 | |
| 192 | 36 | |
| 191 | 40 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.6370287 |
| Minimum | 1 |
|---|---|
| Maximum | 4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 4 |
| Range | 3 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.8029015594 |
|---|---|
| Coefficient of variation (CV) | 0.4904627264 |
| Kurtosis | 0.7346203807 |
| Mean | 1.6370287 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.161882495 |
| Sum | 11636 |
| Variance | 0.644650914 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=4)
| Value | Count | Frequency (%) |
| 1 | 3795 | |
| 2 | 2352 | |
| 3 | 707 | 9.9% |
| 4 | 254 | 3.6% |
| (Missing) | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 3795 | |
| 2 | 2352 | |
| 3 | 707 | 9.9% |
| 4 | 254 | 3.6% |
| Value | Count | Frequency (%) |
| 4 | 254 | 3.6% |
| 3 | 707 | 9.9% |
| 2 | 2352 | |
| 1 | 3795 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 5 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.213260135 |
| Minimum | 1 |
|---|---|
| Maximum | 2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 2 |
| Maximum | 2 |
| Range | 1 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.4096387078 |
|---|---|
| Coefficient of variation (CV) | 0.3376346885 |
| Kurtosis | -0.03900589183 |
| Mean | 1.213260135 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.400358943 |
| Sum | 8619 |
| Variance | 0.1678038709 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=2)
| Value | Count | Frequency (%) |
| 1 | 5589 | |
| 2 | 1515 | 21.3% |
| (Missing) | 5 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 5589 | |
| 2 | 1515 | 21.3% |
| Value | Count | Frequency (%) |
| 2 | 1515 | 21.3% |
| 1 | 5589 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.688704459 |
| Minimum | 2 |
|---|---|
| Maximum | 6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 4 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 4 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.019098916 |
|---|---|
| Coefficient of variation (CV) | 0.2762755671 |
| Kurtosis | -0.5307863127 |
| Mean | 3.688704459 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.1188007656 |
| Sum | 26223 |
| Variance | 1.038562601 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=5)
| Value | Count | Frequency (%) |
| 4 | 2563 | |
| 3 | 2125 | |
| 5 | 1246 | |
| 2 | 921 | 13.0% |
| 6 | 254 | 3.6% |
| Value | Count | Frequency (%) |
| 2 | 921 | 13.0% |
| 3 | 2125 | |
| 4 | 2563 | |
| 5 | 1246 | |
| 6 | 254 | 3.6% |
| Value | Count | Frequency (%) |
| 6 | 254 | 3.6% |
| 5 | 1246 | |
| 4 | 2563 | |
| 3 | 2125 | |
| 2 | 921 | 13.0% |
SALE_COND
Categorical
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 450.0 KiB |
| AdjLand | |
|---|---|
| Partial | |
| Normal Sale | |
| AbNormal | |
| Family | |
| Other values (4) | 15 |
Length
| Max length | 11 |
|---|---|
| Median length | 7 |
| Mean length | 7.803910536 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | AbNormal |
|---|---|
| 2nd row | AbNormal |
| 3rd row | AbNormal |
| 4th row | Family |
| 5th row | AbNormal |
Common Values
| Value | Count | Frequency (%) |
| AdjLand | 1433 | |
| Partial | 1429 | |
| Normal Sale | 1423 | |
| AbNormal | 1406 | |
| Family | 1403 | |
| Adj Land | 6 | 0.1% |
| Ab Normal | 5 | 0.1% |
| Partiall | 3 | < 0.1% |
| PartiaLl | 1 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| adjland | 1433 | |
| partial | 1429 | |
| normal | 1428 | |
| sale | 1423 | |
| abnormal | 1406 | |
| family | 1403 | |
| adj | 6 | 0.1% |
| land | 6 | 0.1% |
| ab | 5 | 0.1% |
| partiall | 4 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
PARK_FACIL
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 413.2 KiB |
| Yes | |
|---|---|
| No | |
| Noo | 2 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.504853003 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Yes |
|---|---|
| 2nd row | No |
| 3rd row | Yes |
| 4th row | No |
| 5th row | Yes |
Common Values
| Value | Count | Frequency (%) |
| Yes | 3587 | |
| No | 3520 | |
| Noo | 2 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| yes | 3587 | |
| no | 3520 | |
| noo | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5808 |
|---|---|
| Distinct (%) | 81.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 465.3 KiB |
| 02-07-1987 | 6 |
|---|---|
| 04-04-1999 | 5 |
| 27-08-2000 | 4 |
| 13-05-1982 | 4 |
| 08-04-1989 | 4 |
| Other values (5803) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4676 ? |
|---|---|
| Unique (%) | 65.8% |
Sample
| 1st row | 15-05-1967 |
|---|---|
| 2nd row | 22-12-1995 |
| 3rd row | 09-02-1992 |
| 4th row | 18-03-1988 |
| 5th row | 13-10-1979 |
Common Values
| Value | Count | Frequency (%) |
| 02-07-1987 | 6 | 0.1% |
| 04-04-1999 | 5 | 0.1% |
| 27-08-2000 | 4 | 0.1% |
| 13-05-1982 | 4 | 0.1% |
| 08-04-1989 | 4 | 0.1% |
| 17-01-1996 | 4 | 0.1% |
| 21-11-1992 | 4 | 0.1% |
| 06-12-1985 | 4 | 0.1% |
| 18-09-1971 | 4 | 0.1% |
| 19-07-1977 | 4 | 0.1% |
| Other values (5798) | 7066 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 02-07-1987 | 6 | 0.1% |
| 04-04-1999 | 5 | 0.1% |
| 02-12-1982 | 4 | 0.1% |
| 03-10-1999 | 4 | 0.1% |
| 23-01-1987 | 4 | 0.1% |
| 14-03-1985 | 4 | 0.1% |
| 19-02-1979 | 4 | 0.1% |
| 16-01-2003 | 4 | 0.1% |
| 29-01-1982 | 4 | 0.1% |
| 02-10-1990 | 4 | 0.1% |
| Other values (5798) | 7066 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 444.2 KiB |
| House | |
|---|---|
| Commercial | |
| Others | |
| Other | 26 |
| Comercial | 4 |
Length
| Max length | 10 |
|---|---|
| Median length | 6 |
| Mean length | 6.962441975 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Commercial |
|---|---|
| 2nd row | Commercial |
| 3rd row | Commercial |
| 4th row | Others |
| 5th row | Others |
Common Values
| Value | Count | Frequency (%) |
| House | 2444 | |
| Commercial | 2325 | |
| Others | 2310 | |
| Other | 26 | 0.4% |
| Comercial | 4 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| house | 2444 | |
| commercial | 2325 | |
| others | 2310 | |
| other | 26 | 0.4% |
| comercial | 4 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
UTILITY_AVAIL
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 434.8 KiB |
| AllPub | |
|---|---|
| NoSeWa | |
| NoSewr | |
| ELO | |
| All Pub | 1 |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 5.615135743 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | AllPub |
|---|---|
| 2nd row | AllPub |
| 3rd row | ELO |
| 4th row | NoSewr |
| 5th row | AllPub |
Common Values
| Value | Count | Frequency (%) |
| AllPub | 1886 | |
| NoSeWa | 1871 | |
| NoSewr | 1829 | |
| ELO | 1522 | |
| All Pub | 1 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| allpub | 1886 | |
| nosewa | 1871 | |
| nosewr | 1829 | |
| elo | 1522 | |
| all | 1 | < 0.1% |
| pub | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
STREET
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 440.9 KiB |
| Paved | |
|---|---|
| Gravel | |
| No Access | |
| Pavd | 12 |
| NoAccess | 7 |
Length
| Max length | 9 |
|---|---|
| Median length | 6 |
| Mean length | 6.486706991 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Paved |
|---|---|
| 2nd row | Gravel |
| 3rd row | Gravel |
| 4th row | Paved |
| 5th row | Gravel |
Common Values
| Value | Count | Frequency (%) |
| Paved | 2560 | |
| Gravel | 2520 | |
| No Access | 2010 | |
| Pavd | 12 | 0.2% |
| NoAccess | 7 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| paved | 2560 | |
| gravel | 2520 | |
| no | 2010 | |
| access | 2010 | |
| pavd | 12 | 0.1% |
| noaccess | 7 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 408.2 KiB |
| RL | |
|---|---|
| RH | |
| RM | |
| C | |
| A |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 1.773245182 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | A |
|---|---|
| 2nd row | RH |
| 3rd row | RL |
| 4th row | I |
| 5th row | C |
Common Values
| Value | Count | Frequency (%) |
| RL | 1858 | |
| RH | 1822 | |
| RM | 1817 | |
| C | 550 | 7.7% |
| A | 537 | 7.6% |
| I | 525 | 7.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| rl | 1858 | |
| rh | 1822 | |
| rm | 1817 | |
| c | 550 | 7.7% |
| a | 537 | 7.6% |
| i | 525 | 7.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 31 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.517470812 |
| Minimum | 2 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2.1 |
| Q1 | 2.7 |
| median | 3.5 |
| Q3 | 4.3 |
| 95-th percentile | 4.9 |
| Maximum | 5 |
| Range | 3 |
| Interquartile range (IQR) | 1.6 |
Descriptive statistics
| Standard deviation | 0.8919724311 |
|---|---|
| Coefficient of variation (CV) | 0.2535834635 |
| Kurtosis | -1.197535123 |
| Mean | 3.517470812 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | -0.01895704371 |
| Sum | 25005.7 |
| Variance | 0.7956148178 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 2.5 | 265 | 3.7% |
| 3.8 | 259 | 3.6% |
| 3.6 | 255 | 3.6% |
| 4.6 | 252 | 3.5% |
| 3.9 | 245 | 3.4% |
| 4.9 | 242 | 3.4% |
| 3.4 | 240 | 3.4% |
| 4.7 | 239 | 3.4% |
| 3.3 | 239 | 3.4% |
| 4.8 | 239 | 3.4% |
| Other values (21) | 4634 |
| Value | Count | Frequency (%) |
| 2 | 203 | |
| 2.1 | 236 | |
| 2.2 | 213 | |
| 2.3 | 224 | |
| 2.4 | 208 | |
| 2.5 | 265 | |
| 2.6 | 237 | |
| 2.7 | 200 | |
| 2.8 | 226 | |
| 2.9 | 220 |
| Value | Count | Frequency (%) |
| 5 | 228 | |
| 4.9 | 242 | |
| 4.8 | 239 | |
| 4.7 | 239 | |
| 4.6 | 252 | |
| 4.5 | 218 | |
| 4.4 | 219 | |
| 4.3 | 225 | |
| 4.2 | 239 | |
| 4.1 | 222 |
| Distinct | 31 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.507244338 |
| Minimum | 2 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2.1 |
| Q1 | 2.7 |
| median | 3.5 |
| Q3 | 4.3 |
| 95-th percentile | 4.9 |
| Maximum | 5 |
| Range | 3 |
| Interquartile range (IQR) | 1.6 |
Descriptive statistics
| Standard deviation | 0.8978337054 |
|---|---|
| Coefficient of variation (CV) | 0.2559940565 |
| Kurtosis | -1.21625135 |
| Mean | 3.507244338 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 0.0003104318578 |
| Sum | 24933 |
| Variance | 0.8061053625 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 2.7 | 256 | 3.6% |
| 4.8 | 255 | 3.6% |
| 3.7 | 251 | 3.5% |
| 4.7 | 247 | 3.5% |
| 4.9 | 245 | 3.4% |
| 3 | 241 | 3.4% |
| 4.2 | 237 | 3.3% |
| 4.6 | 234 | 3.3% |
| 3.4 | 234 | 3.3% |
| 2.2 | 234 | 3.3% |
| Other values (21) | 4675 |
| Value | Count | Frequency (%) |
| 2 | 222 | |
| 2.1 | 224 | |
| 2.2 | 234 | |
| 2.3 | 220 | |
| 2.4 | 230 | |
| 2.5 | 233 | |
| 2.6 | 226 | |
| 2.7 | 256 | |
| 2.8 | 206 | |
| 2.9 | 228 |
| Value | Count | Frequency (%) |
| 5 | 219 | |
| 4.9 | 245 | |
| 4.8 | 255 | |
| 4.7 | 247 | |
| 4.6 | 234 | |
| 4.5 | 231 | |
| 4.4 | 219 | |
| 4.3 | 224 | |
| 4.2 | 237 | |
| 4.1 | 210 |
| Distinct | 31 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.485300324 |
| Minimum | 2 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2.1 |
| Q1 | 2.7 |
| median | 3.5 |
| Q3 | 4.3 |
| 95-th percentile | 4.9 |
| Maximum | 5 |
| Range | 3 |
| Interquartile range (IQR) | 1.6 |
Descriptive statistics
| Standard deviation | 0.8872664105 |
|---|---|
| Coefficient of variation (CV) | 0.2545738755 |
| Kurtosis | -1.190165265 |
| Mean | 3.485300324 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 0.01728160906 |
| Sum | 24777 |
| Variance | 0.7872416831 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 2.6 | 273 | 3.8% |
| 3.2 | 253 | 3.6% |
| 4 | 248 | 3.5% |
| 2.4 | 244 | 3.4% |
| 3.8 | 244 | 3.4% |
| 3.1 | 243 | 3.4% |
| 2.1 | 242 | 3.4% |
| 3 | 241 | 3.4% |
| 3.4 | 239 | 3.4% |
| 4.3 | 237 | 3.3% |
| Other values (21) | 4645 |
| Value | Count | Frequency (%) |
| 2 | 221 | |
| 2.1 | 242 | |
| 2.2 | 237 | |
| 2.3 | 200 | |
| 2.4 | 244 | |
| 2.5 | 226 | |
| 2.6 | 273 | |
| 2.7 | 222 | |
| 2.8 | 210 | |
| 2.9 | 219 |
| Value | Count | Frequency (%) |
| 5 | 217 | |
| 4.9 | 203 | |
| 4.8 | 211 | |
| 4.7 | 228 | |
| 4.6 | 233 | |
| 4.5 | 227 | |
| 4.4 | 237 | |
| 4.3 | 237 | |
| 4.2 | 212 | |
| 4.1 | 223 |
| Distinct | 479 |
|---|---|
| Distinct (%) | 6.8% |
| Missing | 48 |
| Missing (%) | 0.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.503253788 |
| Minimum | 2 |
|---|---|
| Maximum | 4.97 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2.63 |
| Q1 | 3.13 |
| median | 3.5 |
| Q3 | 3.89 |
| 95-th percentile | 4.37 |
| Maximum | 4.97 |
| Range | 2.97 |
| Interquartile range (IQR) | 0.76 |
Descriptive statistics
| Standard deviation | 0.5272229035 |
|---|---|
| Coefficient of variation (CV) | 0.1504952068 |
| Kurtosis | -0.4896687645 |
| Mean | 3.503253788 |
| Median Absolute Deviation (MAD) | 0.38 |
| Skewness | -0.007263226359 |
| Sum | 24736.475 |
| Variance | 0.27796399 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3.54 | 59 | 0.8% |
| 3.26 | 57 | 0.8% |
| 3.32 | 56 | 0.8% |
| 3.56 | 55 | 0.8% |
| 3.36 | 54 | 0.8% |
| 3.34 | 53 | 0.7% |
| 3.2 | 51 | 0.7% |
| 3.96 | 51 | 0.7% |
| 3.47 | 51 | 0.7% |
| 3.5 | 50 | 0.7% |
| Other values (469) | 6524 |
| Value | Count | Frequency (%) |
| 2 | 1 | < 0.1% |
| 2.06 | 2 | < 0.1% |
| 2.09 | 1 | < 0.1% |
| 2.11 | 1 | < 0.1% |
| 2.18 | 3 | |
| 2.195 | 1 | < 0.1% |
| 2.2 | 1 | < 0.1% |
| 2.21 | 4 | |
| 2.22 | 5 | |
| 2.23 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 4.97 | 1 | |
| 4.95 | 1 | |
| 4.94 | 1 | |
| 4.93 | 1 | |
| 4.9 | 1 | |
| 4.87 | 1 | |
| 4.865 | 1 | |
| 4.85 | 1 | |
| 4.83 | 2 | |
| 4.82 | 1 |
| Distinct | 7038 |
|---|---|
| Distinct (%) | 99.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 376938.3307 |
| Minimum | 71177 |
|---|---|
| Maximum | 983922 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 71177 |
|---|---|
| 5-th percentile | 197984.6 |
| Q1 | 272406 |
| median | 349486 |
| Q3 | 451562 |
| 95-th percentile | 669167.4 |
| Maximum | 983922 |
| Range | 912745 |
| Interquartile range (IQR) | 179156 |
Descriptive statistics
| Standard deviation | 143070.662 |
|---|---|
| Coefficient of variation (CV) | 0.3795598652 |
| Kurtosis | 1.126499412 |
| Mean | 376938.3307 |
| Median Absolute Deviation (MAD) | 85998 |
| Skewness | 1.037754561 |
| Sum | 2679654593 |
| Variance | 2.046921433 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 235229 | 3 | < 0.1% |
| 304066 | 2 | < 0.1% |
| 291085 | 2 | < 0.1% |
| 457606 | 2 | < 0.1% |
| 351194 | 2 | < 0.1% |
| 264914 | 2 | < 0.1% |
| 300949 | 2 | < 0.1% |
| 324803 | 2 | < 0.1% |
| 419630 | 2 | < 0.1% |
| 303081 | 2 | < 0.1% |
| Other values (7028) | 7088 |
| Value | Count | Frequency (%) |
| 71177 | 1 | |
| 95798 | 1 | |
| 103928 | 1 | |
| 106466 | 1 | |
| 111366 | 1 | |
| 111690 | 1 | |
| 112960 | 1 | |
| 113759 | 1 | |
| 114011 | 1 | |
| 114210 | 1 |
| Value | Count | Frequency (%) |
| 983922 | 1 | |
| 981117 | 1 | |
| 963029 | 1 | |
| 952411 | 1 | |
| 947124 | 1 | |
| 942859 | 1 | |
| 941567 | 1 | |
| 940813 | 1 | |
| 936314 | 1 | |
| 931224 | 1 |
| Distinct | 7011 |
|---|---|
| Distinct (%) | 98.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 141005.7265 |
| Minimum | 5055 |
|---|---|
| Maximum | 495405 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 5055 |
|---|---|
| 5-th percentile | 35990.6 |
| Q1 | 84219 |
| median | 127628 |
| Q3 | 184506 |
| 95-th percentile | 292538 |
| Maximum | 495405 |
| Range | 490350 |
| Interquartile range (IQR) | 100287 |
Descriptive statistics
| Standard deviation | 78768.09372 |
|---|---|
| Coefficient of variation (CV) | 0.558616275 |
| Kurtosis | 1.073363345 |
| Mean | 141005.7265 |
| Median Absolute Deviation (MAD) | 49095 |
| Skewness | 0.9516562165 |
| Sum | 1002409710 |
| Variance | 6204412588 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 117825 | 3 | < 0.1% |
| 50804 | 2 | < 0.1% |
| 155124 | 2 | < 0.1% |
| 148017 | 2 | < 0.1% |
| 120600 | 2 | < 0.1% |
| 111857 | 2 | < 0.1% |
| 223620 | 2 | < 0.1% |
| 72746 | 2 | < 0.1% |
| 167080 | 2 | < 0.1% |
| 132457 | 2 | < 0.1% |
| Other values (7001) | 7088 |
| Value | Count | Frequency (%) |
| 5055 | 1 | |
| 5126 | 1 | |
| 5378 | 1 | |
| 5620 | 1 | |
| 5943 | 1 | |
| 6038 | 1 | |
| 6149 | 1 | |
| 6190 | 1 | |
| 6236 | 1 | |
| 6349 | 1 |
| Value | Count | Frequency (%) |
| 495405 | 1 | |
| 491961 | 1 | |
| 485924 | 1 | |
| 481001 | 1 | |
| 479297 | 1 | |
| 475795 | 1 | |
| 471247 | 1 | |
| 470784 | 1 | |
| 469920 | 1 | |
| 466156 | 1 |
| Distinct | 7057 |
|---|---|
| Distinct (%) | 99.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10894909.64 |
| Minimum | 2156875 |
|---|---|
| Maximum | 23667340 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 55.7 KiB |
Quantile statistics
| Minimum | 2156875 |
|---|---|
| 5-th percentile | 5630100 |
| Q1 | 8272100 |
| median | 10335050 |
| Q3 | 12993900 |
| 95-th percentile | 18790428 |
| Maximum | 23667340 |
| Range | 21510465 |
| Interquartile range (IQR) | 4721800 |
Descriptive statistics
| Standard deviation | 3768603.457 |
|---|---|
| Coefficient of variation (CV) | 0.345904976 |
| Kurtosis | 0.5881293416 |
| Mean | 10894909.64 |
| Median Absolute Deviation (MAD) | 2317605 |
| Skewness | 0.7733433359 |
| Sum | 7.745191262 × 1010 |
| Variance | 1.420237202 × 1013 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5378000 | 2 | < 0.1% |
| 9429000 | 2 | < 0.1% |
| 4971250 | 2 | < 0.1% |
| 4546625 | 2 | < 0.1% |
| 11930880 | 2 | < 0.1% |
| 7074750 | 2 | < 0.1% |
| 6765500 | 2 | < 0.1% |
| 7638500 | 2 | < 0.1% |
| 5710250 | 2 | < 0.1% |
| 9462850 | 2 | < 0.1% |
| Other values (7047) | 7089 |
| Value | Count | Frequency (%) |
| 2156875 | 1 | |
| 2476375 | 1 | |
| 2640250 | 1 | |
| 2797250 | 1 | |
| 2939750 | 1 | |
| 3000375 | 1 | |
| 3001250 | 1 | |
| 3013500 | 1 | |
| 3029750 | 1 | |
| 3081375 | 1 |
| Value | Count | Frequency (%) |
| 23667340 | 1 | |
| 23407860 | 1 | |
| 23314580 | 1 | |
| 23307000 | 1 | |
| 23247590 | 1 | |
| 23013500 | 1 | |
| 22918500 | 1 | |
| 22916500 | 1 | |
| 22852890 | 1 | |
| 22829130 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| PRT_ID | AREA | INT_SQFT | DATE_SALE | DIST_MAINROAD | N_BEDROOM | N_BATHROOM | N_ROOM | SALE_COND | PARK_FACIL | DATE_BUILD | BUILDTYPE | UTILITY_AVAIL | STREET | MZZONE | QS_ROOMS | QS_BATHROOM | QS_BEDROOM | QS_OVERALL | REG_FEE | COMMIS | SALES_PRICE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | P03210 | Karapakkam | 1004 | 04-05-2011 | 131 | 1.0 | 1.0 | 3 | AbNormal | Yes | 15-05-1967 | Commercial | AllPub | Paved | A | 4.0 | 3.9 | 4.9 | 4.330 | 380000 | 144400 | 7600000 |
| 1 | P09411 | Anna Nagar | 1986 | 19-12-2006 | 26 | 2.0 | 1.0 | 5 | AbNormal | No | 22-12-1995 | Commercial | AllPub | Gravel | RH | 4.9 | 4.2 | 2.5 | 3.765 | 760122 | 304049 | 21717770 |
| 2 | P01812 | Adyar | 909 | 04-02-2012 | 70 | 1.0 | 1.0 | 3 | AbNormal | Yes | 09-02-1992 | Commercial | ELO | Gravel | RL | 4.1 | 3.8 | 2.2 | 3.090 | 421094 | 92114 | 13159200 |
| 3 | P05346 | Velachery | 1855 | 13-03-2010 | 14 | 3.0 | 2.0 | 5 | Family | No | 18-03-1988 | Others | NoSewr | Paved | I | 4.7 | 3.9 | 3.6 | 4.010 | 356321 | 77042 | 9630290 |
| 4 | P06210 | Karapakkam | 1226 | 05-10-2009 | 84 | 1.0 | 1.0 | 3 | AbNormal | Yes | 13-10-1979 | Others | AllPub | Gravel | C | 3.0 | 2.5 | 4.1 | 3.290 | 237000 | 74063 | 7406250 |
| 5 | P00219 | Chrompet | 1220 | 11-09-2014 | 36 | 2.0 | 1.0 | 4 | Partial | No | 12-09-2009 | Commercial | NoSeWa | No Access | RH | 4.5 | 2.6 | 3.1 | 3.320 | 409027 | 198316 | 12394750 |
| 6 | P09105 | Chrompet | 1167 | 05-04-2007 | 137 | 1.0 | 1.0 | 3 | Partial | No | 12-04-1979 | Other | AllPub | No Access | RL | 3.6 | 2.1 | 2.5 | 2.670 | 263152 | 33955 | 8488790 |
| 7 | P09679 | Velachery | 1847 | 13-03-2006 | 176 | 3.0 | 2.0 | 5 | Family | No | 15-03-1996 | Commercial | AllPub | Gravel | RM | 2.4 | 4.5 | 2.1 | 3.260 | 604809 | 235204 | 16800250 |
| 8 | P03377 | Chrompet | 771 | 06-04-2011 | 175 | 1.0 | 1.0 | 2 | AdjLand | No | 14-04-1977 | Others | NoSewr | Paved | RM | 2.9 | 3.7 | 4.0 | 3.550 | 257578 | 33236 | 8308970 |
| 9 | P09623 | Velachery | 1635 | 22-06-2006 | 74 | 2.0 | 1.0 | 4 | AbNormal | No | 26-06-1991 | Others | ELO | No Access | I | 3.1 | 3.1 | 3.3 | 3.160 | 323346 | 121255 | 8083650 |
Last rows
| PRT_ID | AREA | INT_SQFT | DATE_SALE | DIST_MAINROAD | N_BEDROOM | N_BATHROOM | N_ROOM | SALE_COND | PARK_FACIL | DATE_BUILD | BUILDTYPE | UTILITY_AVAIL | STREET | MZZONE | QS_ROOMS | QS_BATHROOM | QS_BEDROOM | QS_OVERALL | REG_FEE | COMMIS | SALES_PRICE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7099 | P03828 | Adyar | 895 | 05-01-2011 | 197 | 1.0 | 1.0 | 3 | AdjLand | Yes | 15-01-1971 | House | NoSewr | No Access | I | 3.6 | 4.7 | 4.2 | 4.12 | 250641 | 7372 | 7371800 |
| 7100 | P05438 | T Nagar | 1733 | 24-02-2010 | 191 | 1.0 | 1.0 | 4 | AbNormal | Yes | 02-03-1985 | Commercial | NoSeWa | No Access | RL | 3.4 | 3.7 | 2.1 | 2.89 | 702058 | 312026 | 19501600 |
| 7101 | P05042 | Karapakkam | 666 | 11-05-2010 | 51 | 1.0 | 1.0 | 2 | AdjLand | Yes | 20-05-1974 | Others | ELO | Gravel | I | 3.2 | 4.4 | 2.5 | 3.28 | 273317 | 74541 | 6211750 |
| 7102 | P05560 | Karapakkam | 701 | 03-02-2010 | 100 | 1.0 | 1.0 | 2 | AbNormal | No | 08-02-1990 | House | NoSeWa | Gravel | RH | 4.2 | 3.0 | 2.0 | 2.96 | 282175 | 141088 | 5643500 |
| 7103 | P05133 | Karapakkam | 1462 | 23-04-2010 | 68 | 2.0 | 2.0 | 4 | Family | No | 29-04-1986 | Others | NoSeWa | Gravel | RM | 2.7 | 3.3 | 3.6 | 3.24 | 356716 | 178358 | 9387250 |
| 7104 | P03834 | Karapakkam | 598 | 03-01-2011 | 51 | 1.0 | 1.0 | 2 | AdjLand | No | 15-01-1962 | Others | ELO | No Access | RM | 3.0 | 2.2 | 2.4 | 2.52 | 208767 | 107060 | 5353000 |
| 7105 | P10000 | Velachery | 1897 | 08-04-2004 | 52 | 3.0 | 2.0 | 5 | Family | Yes | 11-04-1995 | Others | NoSeWa | No Access | RH | 3.6 | 4.5 | 3.3 | 3.92 | 346191 | 205551 | 10818480 |
| 7106 | P09594 | Velachery | 1614 | 25-08-2006 | 152 | 2.0 | 1.0 | 4 | Normal Sale | No | 01-09-1978 | House | NoSeWa | Gravel | I | 4.3 | 4.2 | 2.9 | 3.84 | 317354 | 167028 | 8351410 |
| 7107 | P06508 | Karapakkam | 787 | 03-08-2009 | 40 | 1.0 | 1.0 | 2 | Partial | Yes | 11-08-1977 | Commercial | ELO | Paved | RL | 4.6 | 3.8 | 4.1 | 4.16 | 425350 | 119098 | 8507000 |
| 7108 | P09794 | Velachery | 1896 | 13-07-2005 | 156 | 3.0 | 2.0 | 5 | Partial | Yes | 24-07-1961 | Others | ELO | Paved | I | 3.1 | 3.5 | 4.3 | 3.64 | 349177 | 79812 | 9976480 |